The purpose of this assignment is to practice and experiment with linear regression using data from gapminder.org.
CMSC426_Project02
This assignment implemented a corner detector and feature tracker that track features from the image sequence hotel.
CMSC426_Project01
This assignment aims to explore image processing techniques, specifically hybrid images and pyramids.
CMSC320_Project02
The purpose of this assignment is to apply data wrangling and exploratory data analysis techniques to baseball data in order to evaluate the effectiveness of Moneyball strategy used by the Oakland A’s baseball team.
CMSC320_Project01
This assignment aims to demonstrate skills in data scraping, data preparation, and data analysis using Python.
Web Application — Learning Log
This Python project is an online journal system that lets people keep track of information they’ve learned about particular topics.
CMSC351H_Final Project
A basic analysis of path planning algorithms.
CMSC330_Project5
Rust warmup and some interesting methods.
CMSC330_Project4b
In this assignment, it will implement an interpreter for MicroCaml.
CMSC330_Project4a
Over the course of Projects 4a and 4b, it will implement MicroCaml — a dynamically-typed version of OCaml with a subset of its features. As part of the implementation of MicroCaml, it will also implement parts of mutop (μtop or Microtop), a version of utop for MicroCaml.